Adaptive PID Controllers for AQM Based on Different Neural Networks Designing

In this paper, we use a previously developed nonlinear dynamic model of TCP to design Active Queue Management (AQM) controllers based on different structures of Neural Networks. We will introduce two types of Neural Networks controllers which are single neuron adaptive neural network (SANN) PID controller and the back propagation neural network (BPNN) PID controller. We illustrate the structures and the learning rules of both controllers. Then we give and compare their performances based on NS-2 simulation platform to support our designs. In the end, we prefer to use the BPNN controller as its better performance at dynamic network load.